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As political support for sustainability weakens, the need for long-term sustainable practices has never been more critical. How can we use analytics, boosted by agentic AI, to support companies in their green transformation? For years, the focus of my blog was always on using Supply Chain Analytics methodologies and tools to solve specific problems. Four […]

Artificial intelligence (AI) capabilities and autonomy are growing at an accelerated pace in Agentic Ai, escalating an AI alignment problem. These rapid advancements require new methods to ensure that AI agent behavior is aligned with the intent of its human creators and societal norms. However, developers and data scientists first need an understanding of the

Generative AI (GenAI) is evolving fast — and it’s no longer just about fun chatbots or impressive image generation. 2025 is the year where the focus is on turning the AI hype into real value. Companies everywhere are looking into ways to integrate and leverage GenAI on their products and processes — to better serve

Breaking into the tech world is no longer as easy (or glamorous) as it used to be. Lots of people are finding it difficult to find their way into the current tech market. This can be due to lots of reasons like a competitive job market, lack of openings, higher demands for senior positions, massive

Browsing GitHub the other day, I came across a library I’d never heard of before. It was called NumExpr. I was immediately interested because of some claims made about the library. In particular, it stated that for some complex numerical calculations, it was up to 15 times faster than NumPy.  I was intrigued because, up

You might be wondering whether GenAI is just hype or external noise. I also thought this was hype, and I could sit this one out until the dust cleared. Oh, boy, was I wrong. GenAI has real-world applications. It also generates revenue for companies, so we expect companies to invest heavily in research. Every time

Introduction Transformers have changed the way artificial intelligence works, especially in understanding language and learning from data. At the core of these models are tensors (a generalized type of mathematical matrices that help process information) . As data moves through the different parts of a Transformer, these tensors are subject to different transformations that help

Evaluation is the cornerstone of any machine learning product. Investing in quality measurement delivers significant returns. Let’s explore the potential business benefits. As management consultant and writer Peter Drucker once said, “If you can’t measure it, you can’t improve it.” Building a robust evaluation system helps you identify areas for improvement and take meaningful actions

Introduction AWS is a popular cloud provider that enables the deployment and scaling of large applications. Mastering at least one cloud platform is an essential skill for software engineers and data scientists. Running an application locally is not enough to make it usable in production — it must be deployed on a server to become